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For evaluating the utility aspect of
forecasts it is often convenient to present the verification in a
contingency table with the corresponding hits (H), false alarms
(F), misses (M) and correct no-forecasts (Z). If N is the total
number of cases then N=H+F+M+Z. The sample climatological
probability of an event occurring is then
Pclim=(H+M)/N.
Table 2
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Event
obs
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Event
not obs
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Event
forecast
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H
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F
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Event
not forecast
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M
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Z
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A wide range of verification scores
[2] can be computed from this table,
but here we will only mention the Hit Rate HR=H/(H+M) and
the false alarm rate FR=F/(Z+F).
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